GitHub / dineshsoudagar / multi-task-neural-networks-for-ADAS
Comprehensive evaluation of multi-task versus single-task neural networks for autonomous driving perception tasks—semantic segmentation, lane marking, drivable area detection, and object detection—using the A2D2 dataset
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PURL: pkg:github/dineshsoudagar/multi-task-neural-networks-for-ADAS
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Forks: 0
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License: mit
Language: Python
Size: 10.9 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 25 days ago
Pushed at: 25 days ago
Last synced at: 25 days ago
Topics: a2d2-dataset, autonomous-driving, computer-vision, deep-learning, drivable-area-detection, evaluation, lane-detection, multi-task-learning, object-detection, research, semantic-segmentation